Literature DB >> 32463121

Sepsis is underreported in Swedish intensive care units: A retrospective observational multicentre study.

Maria Lengquist1,2, Oscar H M Lundberg1,2, Martin Spångfors1,3, Martin Annborn1,4, Helena Levin1, Hans Friberg1,2, Attila Frigyesi1,2.   

Abstract

BACKGROUND: Sepsis is a common indication for admission to the intensive care unit (ICU). Since definitions vary across studies, comparisons of prevalence and outcomes have been challenging. We aimed to compare sepsis according to ICU discharge codes with sepsis according to Sepsis-3 criteria and to investigate the epidemiology of sepsis in the ICU. We hypothesized that sepsis using discharge codes is underreported.
METHODS: Adult ICU admissions to four ICUs in Sweden between 2015 and 2017 were screened for sepsis according to the Sepsis-3 criteria. Medical records were reviewed and data extracted from the Swedish Intensive Care Registry.
RESULTS: Of 5990 adult ICU patients, 28% fulfilled the Sepsis-3 criteria on admission, but only 31% of them had sepsis as the registered main diagnosis at ICU discharge. Of the 1654 Sepsis-3 patients, 38% met the septic shock criteria. The Sepsis-3 in-hospital mortality was 26% compared to 33% in patients with septic shock. The incidence rate for ICU-treated sepsis was 81 cases per 100 000 person-years. One in four had a positive blood culture, and 44% were culture negative.
CONCLUSION: This large Swedish multicentre study showed that 28% of adult ICU patients fulfilled the Sepsis-3 criteria, but only one third of them had sepsis according to ICU discharge codes. We could confirm our hypothesis, that sepsis is severely underreported in Swedish ICUs, and we conclude that discharge codes should not be used for quality control or research purposes.
© 2020 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation.

Entities:  

Keywords:  Sweden; critical care; epidemiology; intensive care; sepsis; septic shock

Year:  2020        PMID: 32463121     DOI: 10.1111/aas.13647

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  4 in total

1.  The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden.

Authors:  Oskar Ericson; Jonas Hjelmgren; Fredrik Sjövall; Joakim Söderberg; Inger Persson
Journal:  J Health Econ Outcomes Res       Date:  2022-04-26

2.  Sepsis in a Combined Medical and Surgical High Dependency/Intensive Care Unit in Singapore: A Cohort Study and Survival Analysis.

Authors:  Xiao Jiang; Faheem Ahmed Khan; Min Qi Ow; Hermione Mei Niang Poh
Journal:  Int J Gen Med       Date:  2022-05-02

3.  Plasma proenkephalin A 119-159 on intensive care unit admission is a predictor of organ failure and 30-day mortality.

Authors:  Attila Frigyesi; Lisa Boström; Maria Lengquist; Patrik Johnsson; Oscar H M Lundberg; Martin Spångfors; Martin Annborn; Tobias Cronberg; Niklas Nielsen; Helena Levin; Hans Friberg
Journal:  Intensive Care Med Exp       Date:  2021-07-19

4.  Circulating bioactive adrenomedullin as a marker of sepsis, septic shock and critical illness.

Authors:  Oscar H M Lundberg; Maria Lengquist; Martin Spångfors; Martin Annborn; Deborah Bergmann; Janin Schulte; Helena Levin; Olle Melander; Attila Frigyesi; Hans Friberg
Journal:  Crit Care       Date:  2020-11-04       Impact factor: 9.097

  4 in total

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